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Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

5.0K
In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
In the Volhard method, a standard excess of AgNO3 is first added to the...
5.0K
Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

4.7K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
4.7K
Precipitation Processes01:12

Precipitation Processes

5.0K
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
5.0K
Precipitation Gravimetry01:03

Precipitation Gravimetry

12.4K
Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
12.4K
Precipitation Titration Curve: Analysis01:21

Precipitation Titration Curve: Analysis

2.1K
The precipitation titration curve demonstrates the change in concentration of one reactant with the volume of titrant added. During the titration of chloride ions with silver nitrate, the precipitation titration curve is divided into three regions: before, at, and after the equivalence point. Before the equivalence point, low redissolution of the sparingly soluble silver chloride precipitate gives a low silver ion concentration. However, in the second region, representing the equivalence point,...
2.1K
Time-Series Graph00:54

Time-Series Graph

3.8K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
3.8K

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Related Experiment Video

Updated: Apr 21, 2026

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
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Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

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Detecting rhythms in time series with RAIN.

Paul F Thaben1, Pål O Westermark2

  • 1Institute for Theoretical Biology, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Journal of Biological Rhythms
|October 19, 2014
PubMed
Summary

Researchers developed RAIN, a robust method to detect biological rhythms in large datasets. This new tool significantly expanded the understanding of circadian rhythms in mouse liver by identifying more rhythmic transcripts and proteins.

Keywords:
algorithmbiological oscillationscircadiandata analysisgene expressionstatistics

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Area of Science:

  • Chronobiology
  • Bioinformatics
  • Molecular Biology

Background:

  • Detecting biological rhythms in large datasets is challenging due to noise and limitations of existing methods like Fourier analysis.
  • Current nonparametric methods are often restricted to specific waveform types, limiting their applicability.

Purpose of the Study:

  • To introduce RAIN, a novel robust nonparametric method for detecting biological rhythms with prespecified periods in diverse datasets.
  • To assess the effectiveness of RAIN in expanding the detection of rhythmic transcripts and proteins in mouse liver circadian data.

Main Methods:

  • RAIN is a robust nonparametric method designed to detect rhythms of specific periods in biological data, capable of identifying arbitrary waveforms.
  • The method was applied to circadian transcriptome and proteome data from mouse liver.
  • False discovery rate was controlled to ensure the reliability of detected rhythms.

Main Results:

  • RAIN significantly expanded the number of identified rhythmic transcripts and proteins in the mouse liver circadian dataset compared to existing methods.
  • The increased detection power revealed a prevalence of nonsymmetric waveforms in circadian regulation.
  • Validation against independent data confirmed the accuracy and robustness of RAIN's findings.

Conclusions:

  • RAIN offers a powerful new approach for analyzing biological rhythms, particularly in complex datasets with arbitrary waveforms.
  • The findings highlight the widespread nature of circadian regulation in the mouse liver transcriptome and proteome, with implications for cellular function.
  • The freely available RAIN software package (R/Bioconductor and web interface) facilitates broader adoption in biological rhythm research.